Sima Behpour

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Model Architectures — 9 citations into it
• Meta & Continual Learning — 5 citations into it

Whom Sima Behpour trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. R. Caruana
2. Alex Krizhevsky
3. Kaiming He
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Karen Simonyan
7. Yann LeCun
8. Diederik P. Kingma
9. Quoc V. Le
10. Ilya Sutskever

Who trusts Sima Behpour overall

1. Haoxuan Qu
2. Seyed Iman Mirzadeh

Papers from Sima Behpour's perspective

Ordered by how strongly the researchers Sima Behpour trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer (2020) — 21 citations